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Databricks Jobs in Missouri (NOW HIRING)

Purple Drive Technologies

Data Engineer

Saint Louis, MO · On-site

$111K - $133K/yr

Design, develop, and optimize batch and real-time data pipelines using Medallion Architecture , preferably on Snowflake or Databricks . * Build modular, test-driven data transformation workflows ...

Purple Drive

Data Engineer

Saint Louis, MO

$111K - $133K/yr

Design, develop, and optimize batch and real-time data pipelines using Medallion Architecture , preferably on Snowflake or Databricks . * Build modular, test-driven data transformation workflows ...

Lockton, Inc.

Sr Analytics Engineer

Kansas City, MO · On-site

$102K - $140K/yr

Transformation Development (Databricks) • Develop and maintain transformation logic using Databricks notebooks. • Implement data validation and monitoring to ensure data accuracy and reliability ...

nimble

Data Engineer

Chesterfield, MO · On-site +1

$113K - $136K/yr

You'll architect scalable cloud-native pipelines using Microsoft Fabric and Databricks to transform healthcare data-claims, EMR/EHR, HL7/FHIR-into actionable insights that drive revenue cycle ...

Nimble Solutions

Data Engineer

Chesterfield, MO · On-site

$113K - $136K/yr

You'll architect scalable cloud-native pipelines using Microsoft Fabric and Databricks to transform healthcare data--claims, EMR/EHR, HL7/FHIR--into actionable insights that drive revenue cycle ...

Nimble Solutions

Data Engineer

Chesterfield, MO · On-site +1

$113K - $136K/yr

You'll architect scalable cloud-native pipelines using Microsoft Fabric and Databricks to transform healthcare data-claims, EMR/EHR, HL7/FHIR-into actionable insights that drive revenue cycle ...

Accenture

Azure Data Architect

Saint Louis, MO · On-site

$66.05 - $76.05/hr

Provide architectural leadership for Snowflake and Databricks-based solutions. * Collaborate with BI, data engineering, and analytics teams to ensure architectural alignment. * Establish data ...

Saxon Global

Data Engineer

Saint Louis, MO

$111K - $133K/yr

... as Databricks, GraphQL, Snowflake, and Enterprise Data Warehousing (EDW). This role is critical in enabling advanced customer data capabilities across marketing, analytics, and personalization ...

Blend360

Lead Cloud & DevOps Engineer

Saint Louis, MO · On-site +1

$51.25 - $70.25/hr

Configure Git-based integration and deployment workflows for platforms such as Databricks or Snowflake to enforce version-controlled deployments. * Support deployment of backend services ...

Kaav Inc.

Data Bricks Data engineer

Saint Charles, MO

$107K - $129K/yr

Hands-on experience with Azure Databricks: cluster management, job scheduling, workspace governance. Strong working knowledge of core Azure services: Storage Account, Synapse, Key Vault, VMSS ...

Blend360

Lead Cloud & DevOps Engineer

Saint Louis, MO

$51.25 - $70.25/hr

Configure Git-based integration and deployment workflows for platforms such as Databricks or Snowflake to enforce version-controlled deployments. * Support deployment of backend services ...

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See Missouri salary details

$22K

$35.4K

$47.8K

How much do databricks jobs pay per year?

As of Jun 10, 2026, the average yearly pay for databricks in Missouri is $35,376.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,400.00 and $38,900.00 per year, depending on experience, location, and employer.

What is a Databricks job?

A Databricks job is a way to run an automated workload, such as a data pipeline, machine learning model training, or ETL task, on the Databricks platform. Jobs can be scheduled, triggered manually, or run as part of a workflow. They support different task types, including notebooks, Python scripts, JARs, and SQL queries. Databricks jobs also allow for dependency management and orchestration across multiple tasks within a workflow.

What are the key skills and qualifications needed to thrive in the Databricks position, and why are they important?

To thrive in a Databricks role, you need strong programming skills in languages such as Python or Scala, a deep understanding of data engineering or data science principles, and typically a relevant degree in computer science or a related field. Experience with Apache Spark, cloud platforms like Azure or AWS, and Databricks-specific certifications are often highly valued. Exceptional problem-solving, communication, and collaboration skills help professionals excel within multidisciplinary data teams. These capabilities are crucial for successfully designing, developing, and optimizing large-scale data solutions in a fast-evolving analytics environment.

What are the typical daily responsibilities of someone working in a Databricks role?

Professionals in Databricks roles typically spend their days developing and maintaining data pipelines, analyzing large datasets, and collaborating with business stakeholders to translate requirements into scalable solutions. They often use tools such as Apache Spark and cloud platforms to design and optimize workflows, while troubleshooting data quality or performance issues that arise. Regular teamwork with data engineers, analysts, and software developers is common, as is participating in sprint planning or code review sessions. Overall, the role combines hands-on technical work with ongoing collaboration to ensure data-driven insights and infrastructure reliability.

What are the most commonly searched types of Databricks jobs in Missouri? The most popular types of Databricks jobs in Missouri are:
What are popular job titles related to Databricks jobs in Missouri? For Databricks jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Databricks jobs in Missouri look for? The top searched job categories for Databricks jobs in Missouri are:
What cities in Missouri are hiring for Databricks jobs? Cities in Missouri with the most Databricks job openings:
Databricks jobs near you
Infographic showing various Databricks job openings in Missouri as of June 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $35,376 per year, or $17 per hour.

Data Engineer

Purple Drive Technologies

Saint Louis, MO • On-site

$111K - $133K/yr

Full-time

Posted 17 days ago

Job description

Overview:
Location: St. Louis, MO
Title: Data Engineer
Experience: 10+ Years (Software/Data Engineering)
Job Description
Core Responsibilities
  • Drive adoption and implementation of tools and platforms that support both internal and external customers.
  • Serve as a key contributor across the full data/software/platform development lifecycle: design, development, documentation, testing, deployment, and support.
  • Operate efficiently within highly secure environments adhering to PII and PCI-DSS standards.
  • Support architects and engineers in designing and building scalable, secure, and agile data applications and platforms.
  • Design, develop, and optimize batch and real-time data pipelines using Medallion Architecture, preferably on Snowflake or Databricks.
  • Build modular, test-driven data transformation workflows using dbt, following strict TDD practices.
  • Implement CI/CD pipelines via GitLab and Jenkins for automated testing, deployment, and monitoring.
  • Embed DataOps principles across all phases of the pipeline lifecycle-testing, monitoring, versioning, collaboration, and automation.
  • Create scalable, reusable data models to support analytics and reporting, including Power BI dashboards.
  • Develop, optimize, and support real-time streaming pipelines using technologies such as Kafka and Spark Structured Streaming.
  • Establish data observability frameworks for monitoring data quality, freshness, lineage, and anomaly detection.
  • Lead deployments, migrations, and upgrades for data platforms ensuring minimal downtime and strong mitigation planning.
  • Collaborate with cross-functional stakeholders to translate requirements into reliable, high-impact data solutions.
  • Maintain comprehensive documentation covering pipeline architecture, processes, standards, and operating procedures.
  • Troubleshoot complex data and system issues using advanced analytical and problem-solving skills.
  • Communicate clearly and effectively with both technical and non-technical stakeholders.
Required Qualifications
  • Bachelor's degree in Computer Science, Engineering, or related technical discipline.
  • 15+ years of proven experience in software development, data engineering, or platform engineering.
  • Deep hands-on expertise with Databricks, Python, PySpark, and Spark SQL.
  • Strong experience building high-performance transformations involving joins, window functions, aggregations, partitioning, and caching strategies.
  • Skilled in developing and managing real-time streaming pipelines.
  • Experience with Delta Live Tables (DLT) and Databricks Workflows; knowledge of Lakeflow Declarative Pipelines is a plus.
  • Strong DevOps background including:
    • Databricks Asset Bundles (DABs)
    • Git/GitHub/Bitbucket
    • Jenkins automation
  • Proven experience with dbt for modular, testable, and scalable transformation workflows.
  • Solid understanding of cloud database ecosystems (AWS, Azure, or GCP).
  • Expertise in designing scalable data models and dashboards using Power BI.
  • Advanced SQL development and query optimization skills.
  • Demonstrated capability in building and managing data observability frameworks.
  • Strong track record in planning and executing large-scale deployments, upgrades, and migrations with minimal operational impact.

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